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CC BY-NC-ND 4.0 · Sports Med Int Open 2018; 02(04): E105-E112
DOI: 10.1055/a-0655-7249
Training & Testing
Eigentümer und Copyright ©Georg Thieme Verlag KG 2018

Aerobic Variables for Prediction of Alpine Skiing Performance – A Novel Approach

Robert Nilsson
1   Department of Community Medicine and Rehabilitation, Sports Medicine Unit, Umea University, Umeå, Sweden
,
Ann-Sofie Lindberg
2   Winternet, Boden, Sweden
,
Apostolos Theos
1   Department of Community Medicine and Rehabilitation, Sports Medicine Unit, Umea University, Umeå, Sweden
,
Richard A. Ferguson
3   School of Sport, Exercise and Health Sciences, Loughborough University School of Sport Exercise and Health Sciences, Loughborough, United Kingdom of Great Britain and Northern Ireland
,
Christer Malm
1   Department of Community Medicine and Rehabilitation, Sports Medicine Unit, Umea University, Umeå, Sweden
› Author Affiliations
Further Information

Publication History

received 08 May 2018
revised05 June 2018

accepted07 June 2018

Publication Date:
07 September 2018 (online)

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Abstract

The aim of this study was to investigate the predictive power of aerobic test results and anthropometric variables on FIS-ranking of junior elite alpine skiers. Results from twenty-three male and female adolescent elite alpine skiers from two seasons were included in the multivariate statistical models. Physical work capacity was determined by V̇O2peak, blood lactate concentration ([HLa]b), and heart rate (HR) during ergometer cycling. Anthropometric variables were body stature, body weight and calculated BMI. No significant correlation between competitive performance and aerobic work capacity or anthropometric data was observed neither in male nor female adolescent skiers. Pre-season physical tests and anthropometric data could therefore not predict end-season FIS-ranking. The best regression (R2) and prediction (Q2) models of FIS slalom (SL) and giant slalom (GS) rank reached R2=0.51 to 0.86, Q2=−0.73 to 0.18, indicating no valid models. This study could not establish V̇O2peak and other included variables as predictors of competitive performance. When combining results from commonly used tests for alpine skiers, and applying multivariate statistical models, investigated tests seems of limited used for athletes, coaches, and ski federations. Performance-specific pre-season tests must be developed and validated for prediction of performance and guidance of exercise training.

Key words

exercise testing - athletic performance - FIS points - multivariate statistics - V̇O2max
 

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